PolymerasaToolkit

Utilizing Scala for scalable genetic data processing. PolymerasaToolkit offers efficient tools for large-scale genetic analysis, enabling researchers to explore genomic datasets effectively

Road Map

• DNA and RNA classes
• Amino Acid classes
• FASTA DNA parser
• FASTA Proteins parser
• Needleman–Wunsch algorithm
• DNA visualization

Overview

Genetic research involves the analysis of massive datasets that can be challenging to process and interpret. PolymerasaToolkit is designed to meet these challenges by providing a suite of tools that streamline the processing, analysis, and visualization of genetic data. Whether you are a researcher working on human genomics, plant genomics, or any other area of genetics, PolymerasaToolkit offers the capabilities you need to derive meaningful insights from your data.

Features

• Scalable Data Processing: Utilize Scala's robust performance to manage and process large genomic datasets efficiently.
• Data Analysis Tools: A variety of tools to perform statistical analysis, variant calling, sequence alignment, and more.
• Visualization: Generate comprehensive visualizations to better understand your data and results.
• Customizable Pipelines: Easily build and customize your analysis pipelines to fit the specific needs of your research.
• User-Friendly: Intuitive interfaces and comprehensive documentation to help you get started quickly and efficiently.

Getting Started

Prerequisites To use PolymerasaToolkit, you need to have the following installed on your system:

• Scala (version 3.4.1 or higher)

Installation

1. Clone the repository:

git clone https://github.com/kacperszo/PolymerasaToolkit

2. Navigate to the project directory:

cd PolymerasaToolkit

3. Build the project using SBT (Scala Build Tool):

sbt compile

Basic Usage

Here is a simple example to demonstrate how to use PolymerasaToolkit:

    val result = FASTAParser.parseNucleicAcidFile("./sample1.fasta").toArray

For more detailed examples and usage, please refer to the Documentation.

Contributing

We welcome contributions from the community! If you would like to contribute to PolymerasaToolkit, please follow these steps:

1. Fork the repository.
2. Create a new branch (git checkout -b feature/your-feature).
3. Commit your changes (git commit -am 'Add new feature').
4. Push to the branch (git push origin feature/your-feature).
5. Create a new Pull Request.

License

PolymerasaToolkit is licensed under the Apache License 2.0. See the LICENSE file for more details.